Big Data in a Relational World Presented by: Kerry Osborne JPMorgan Chase December, 2012

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1 Big Data in a Relational World Presented by: Kerry Osborne JPMorgan Chase December, 2012

2 whoami Never Worked for Oracle Worked with Oracle DB Since 1982 (V2) Working with Exadata since early 2010 Work for Enkitec (www.enkitec.com) (Enkitec owns an Exadata Half Rack V2/X2) (Enkitec owns an Oracle Big Data Appliance) Exadata Book (recently translated to Chinese) Hadoop Aficionado Blog: kerryosborne.oracle-guy.com 3

3 What s the Point? Data Volumes are Increasing Rapidly Cost of Processing / Storing is High Scalability is Big Concern And 4

4 Hadoop Is A Virus * Stolen from Orbitz 5

5 Google Trends 6

6 Google Trends 7

7 Google Trends 8

8 Disjointed Presentation??? Big Data Basics Oracle Stuff Architectures Integration Approaches Products Exadoop Case Study 9

9 So What is Big Data Not My Favorite Term Lot s of Hype Not the Right Tool for Every Job * Many describe it using 3 (or occasionally 4) V s 10

10 How Many V s? Volume Velocity Variety Value (Value Density) 11

11 Well, How Did We Get Here? 12

12 Website Growth 13

13 Google Stack Google Applications Map Reduce Chubby BigTable Google File System (GFS)

14 Open Source Hadoop Stack Hive Pig Applications Hadoop Map Reduce ZooKeeper Hbase Hadoop File System (HDFS) 15

15 GPFS Design Goals Inexpensive Commodity Components failure expected Optimize for Large Files High Bandwidth More Important than Low Latency Typical Workload - Write Once Read Many High Append Concurrency 16

16 Map Reduce Design Goals Provide Scalability - add more machines and it goes faster Minimize Network Usage - they realized network resources are scarce - Move the Work to the Data! Simplify Parallel Distributed Programming - hides the details of - parallelization - fault-tolerance - locality optimization - load balancing 17

17 Hi Hadoop Meets Exadata Presented by: Kerry Osborne Oracle Open World October, 2012

18 Traditional RDBMS Architecture w o r k DB Server Compute Plumbing Storage Storage 19

19 Traditional Oracle Architecture RAC w o r k workers Cache (SGA) dbwr lgwr etc Block Mapper (ASM) Storage 20

20 HDFS/Hadoop Architecture HA? w o r k Name Node Job Tracker datanode tasktracker datanode tasktracker workers workers Storage Storage 21

21 HDFS/Hadoop Architecture HA? w o r k Job Tracker Block Mapper (namenode) datanode tasktracker datanode tasktracker workers workers Storage Storage 22

22 Digression: Internode Communication 23

23 Exadata Architecture RAC w o r k Block Mapper (ASM) workers Cache Storage Node Storage Node workers workers Storage Storage 24

24 HDFS/Hadoop Architecture HA? w o r k Job Tracker Block Mapper (namenode) datanode tasktracker datanode tasktracker workers workers Storage Storage 25

25 Oracle + Hadoop Integration 26

26 Obligatory Marketing Slide 27

27 Oracle Big Data Appliance Prebuilt Hadoop Stack in a Rack Engineered System Open Source Software Includes Cloudera Distribution 28

28 Oracle Big Data Appliance 29

29 BDA Software 30

30 Top Secret Feature of BDA 31

31 Integration Options Many Ways to Skin the Cat Fuse Sqoop Oracle Big Data Connectors 32

32 Fuse External Tables 33

33 Sqoop (SQL-to-Hadoop) Graduated from Incubator Status in March 2012 Slower (no direct path?) Quest has a plug-in (oraoop) Bi-Directional 34

34 Oracle Big Data Connectors Oracle Loader for Hadoop - OLH Oracle Direct Connector for HDFS - ODCH Oracle R Connector for Hadoop ORHC Oracle Data Integrator Application Adapter for Hadoop Note: All Connectors are One Way 35

35 Oracle Data Integrator Application Adapter for Hadoop ODIAAH? 36

36 Oracle R Connector for Hadoop (ORHC) Provides ability to pull data from Oracle RDBMS Provides ability to pull data from HDFS Provides access to local file system Not really a loader tool Most useful for analysts 37

37 Oracle Loader for Hadoop (OLH) Implemented as a MapReduce job (oraloader.jar) Saves CPU on DB Server Can convert to Oracle datatypes Can partition data and optionally sort it Online direct into Oracle tables Can load into Oracle via JDBC or OCI Direct Path Offline generate preprocessed files in HDFS (DP format) 38

38 Oracle Direct Connector for HDFS (ODCH) Uses External Tables Fastest - 12T per hour Can load DP files preprocessed by OLH Allows Oracle SQL to query HDFS data Doesn t require loading into Oracle Downside uses DB CPU s 39

39 Exadoop * Mad Scientist Project 40

40 Exadoop Unusual Situation! Exadata Half Rack with 4 Spare Storage Servers Company Playing with Big Data Technology Exadata Cells Very Similar to BDA Servers 4 Cells Mini BDA! (happy face) 41

41 Exadoop Layout Exa Half Rack Exadoop - 4 Compute Nodes - Exa Compute Nodes X X X X X X X X X X X X - 7 Storage Nodes (252TB) Big Fat Pipe - Exa Storage Nodes (108TB raw) - Hadoop Cluster (144TB raw) 42

42 Exadoop Applications Telecom Company Call Detail Records Dumped by Switches Loaded into HDFS via Flume 43

43 Exadoop Proposed Architecture SIP Server - Exa Compute Apex App Flume Agent Packet Sniffer - Exa Storage - Hadoop Cluster HDFS CDR Error Codes Java App Hbase 44

44 Exadoop Applications 45

45 Wrap Up Is Hadoop the right tool for the job? Maybe All the Cool Kids Are Doing It! 46

46 Questions? Contact Information : Kerry Osborne kerryosborne.oracle-guy.com 47

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